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计时起立-站立过渡测试:惯性传感器测量的哪些信号是连续分析的可行途径?

The timed up & go test sit-to-stand transition: Which signals measured by inertial sensors are a viable route for continuous analysis?

机构信息

Faculty of Biomedical Engineering, Czech Technical University in Prague, Nam Sitna 3105, Czech Republic.

Faculty of Biomedical Engineering, Czech Technical University in Prague, Nam Sitna 3105, Czech Republic.

出版信息

Gait Posture. 2021 Feb;84:8-10. doi: 10.1016/j.gaitpost.2020.11.006. Epub 2020 Nov 12.

Abstract

BACKGROUND

The Timed Up and Go test is a well-known clinical test for assessing of mobility and fall risk. It has been shown that the IMU which use an accelerometer and gyroscope are capable of analysing the quantitative parameters of the sit-to-stand transition.

RESEARCH QUESTION

Which signals obtained by the inertial sensors are suitable for continuous Timed Up & Go test sit-to-stand transition analysis?

METHODS

In the study we included 29 older adult volunteers and 31 de-novo Parkinson disease (PD) patients. All subjects performed an instrumented extended TUG wearing a gyro-accelerometer. The sit-to-stand transition was detected from an angular velocity signal. The sit-to-stand signal pattern within the subject group was analyzed via an intra-class correlation between curves. Inter-subjects' variability was visualized using prediction bands.

RESULTS

The angular velocity about the pitch axis exhibited the best signal match across subjects in both groups (0.50 < ICC < 0.75). When analysing acceleration, the acceleration along the antero-posterior axis showed moderate inter-subjects signal pattern match (0.50 < ICC < 0.75) in the reference group. The analysis of other signals revealed a poor signal pattern in both subject groups.

SIGNIFICANCE

For optimal interpretation of the analysis of continuous curves, the signal pattern must be considered. Also, the inter-subject variability along this pattern can be informative and useful.

摘要

背景

计时起立行走测试是一种评估移动能力和跌倒风险的知名临床测试。已经证明,使用加速度计和陀螺仪的惯性测量单元能够分析从坐到站转移的定量参数。

研究问题

惯性传感器获得的哪些信号适合连续计时起立行走测试从坐到站转移的分析?

方法

在这项研究中,我们纳入了 29 名老年志愿者和 31 名新发帕金森病(PD)患者。所有受试者均佩戴带有陀螺仪和加速度计的仪器化延长版 TUG 进行测试。从角速度信号中检测到从坐到站的转移。通过曲线之间的类内相关分析对组内的从坐到站信号模式进行分析。使用预测带可视化组间变异性。

结果

在两组中,关于俯仰轴的角速度在所有受试者中表现出最佳的信号匹配(0.50 < ICC < 0.75)。当分析加速度时,在参照组中,沿前后轴的加速度显示出中等的组间信号模式匹配(0.50 < ICC < 0.75)。对其他信号的分析表明,两组受试者的信号模式都很差。

意义

为了对连续曲线的分析进行最佳解释,必须考虑信号模式。此外,沿着该模式的组间变异性也可以提供信息和有用。

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